Differential effects of γ-state-triggered thalamic stimulation on mechanical sensitivity in neuropathic rats
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Updated: Nov 1, 2026

Acute and Chronic Tactile Sensory Testing after Spinal Cord Injury in Rats
Published on: April 4, 2012
Qiyu Niu1, Yingnan Nie2, Xiao Li3
1Academy for Engineering and Technology, Fudan University, Shanghai, China; College of Biomedical Engineering, Fudan University, Shanghai, 200433, China.
Objective:
To develop and evaluate a thalamic γ-state-triggered closed-loop (CL) deep brain stimulation (DBS) strategy for modulation of neuropathic pain.
Methods:
Neuropathic pain was induced with chronic constriction injury (CCI) in rats. Thalamic local field potentials (LFPs) were used to identify wavelet-packet (WP)-defined gamma (γ)-band states, γ0 and γ1, using coefficient magnitudes relative to an adaptive threshold and temporal confirmation. A CL DBS paradigm triggered stimulation contingent on either γ0 or γ1 states and was compared with conventional open-loop (OL) 40 Hz and 130 Hz stimulation using behavioral and neurophysiological outcomes.
Results:
CCI increased thalamic γ power on days 3, 7 and 14 (raw p = 0.0004, 0.0078 and 0.0162; FDR-adjusted p = 0.0077, 0.0703 and 0.0731) and prolonged γ1-state duration (raw p = 0.0283; adjusted p = 0.1417). In the CCI model, γ power was negatively associated with mechanical withdrawal threshold (MWT; raw p = 0.0159; adjusted p = 0.0956). At 130 Hz, mean MWT changes were opposite under the two CL protocols: γ0 CL increased MWT by 47.07% and γ1 CL decreased it by 12.06% (raw p = 0.0234 and 0.0391; adjusted p = 0.0469 and 0.0586). The 40 Hz γ0 CL protocol produced the largest observed mean MWT increase of 81.91% (raw p = 0.0078; adjusted p = 0.0469), 46.02 percentage points above 40 Hz OL. Electrophysiological analyses also showed protocol-associated changes in γ-state dynamics and nominal spectral-power changes.
Conclusion:
The tested WP-defined γ-state-triggered CL protocols were associated with differing changes in mechanical sensitivity in neuropathic rats. These findings support further evaluation of this approach as a candidate framework for adaptive neuromodulation of neuropathic pain.

